Explore the modern data analytics landscape within the Microsoft Azure ecosystem. Learn to automate data infrastructure deployment using Azure Resource Manager (ARM) templates or Terraform for infrastructure-as-code, ensuring consistent, scalable, and repeatable analytics environments. Leverage Azure Synapse Analytics and Azure Machine Learning to build advanced analytics applications that deliver highly personalized, actionable insights tailored to specific business needs. Build adaptive, real-time data processing and streaming analytics solutions using Azure Event Hubs and Azure Stream Analytics. Implement intelligent enterprise search and data discovery with Azure Cognitive Search, and perform complex relationship and network analyses by modeling data in graph databases using Azure Cosmos DB’s Gremlin API.
Build adaptive, real-time data processing and streaming analytics solutions using Azure Event Hubs and Azure Stream Analytics.
Transform data analytics by designing and deploying scalable data processing pipelines using Azure Data Factory and Azure Functions (serverless computing) or containerized solutions with Azure Kubernetes Service (AKS). Seamlessly integrate pre-built data analytics and cognitive services such as Azure Cognitive Search (enterprise search), Azure Text Analytics (NLP), and Azure Form Recognizer (document processing) directly into your data workflows via simple API calls.
It is designed to validate the knowledge, skills, and competencies of individuals in a specific area of study or professional field. The certification program is meticulously designed to ensure that candidates have acquired a comprehensive understanding of the subject matter. It encompasses both theoretical knowledge and practical application, allowing candidates to demonstrate their expertise in real-world scenarios.
Strategically orchestrate data services using an Azure Data Lake built on Azure Blob Storage as a centralized repository for your data assets. Promote collaboration between data engineers and analysts using tools such as Azure Synapse Studio, Azure Data Factory, and Azure DevOps for unified data workflows, version control, and continuous integration/continuous deployment (CI/CD). Learn to leverage Microsoft’s rich data analytics ecosystem to address complex business problems and enhance data-driven decision-making. Gain hands-on experience in data ingestion, transformation, feature engineering, and building analytical models using languages like SQL, Python, and C# in Azure environments. Expand your global perspective by deploying analytics solutions across Azure’s global regions and availability zones to ensure performance, compliance, and resiliency. Solve complex challenges by integrating Azure’s analytics offerings with powerful big data tools such as Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics, crafting comprehensive, client-focused data strategies.
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